Private Cloud & On-Premises Deployments
The DQC Platform can be deployed in private cloud environments or fully on-premises—ensuring full data sovereignty and compliance with internal IT policies.
Deployment requirements
To run the DQC Platform in a private environment, the following infrastructure is required:
Kubernetes Cluster – Version ≥ 1.29.9
PostgreSQL Database – Version ≥ 14
Supported single sign-on (SSO) providers
The platform supports modern authentication methods:
Microsoft Entra (formerly Azure AD)
Okta
Any OpenID Connect-compliant provider
Bring your own LLM
You can connect your own LLM instances to the DQC Platform. The platform does not call a single fixed model: every request is routed to a capability class. One provider can cover all classes, and one model can serve several of them.
Supported providers
Anthropic Claude — via the Anthropic API or Amazon Bedrock
OpenAI — via the OpenAI API
Google Gemini — via Google Vertex AI
How many models do you need?
At minimum two models: STANDARD and FAST. Every other class routes to one of those two, so you can start with two and add dedicated models later where it pays off.
Model classes
Class | What it drives | Own model | Anthropic | OpenAI |
|---|---|---|---|---|
STANDARD | Rule prediction, data enrichment, duplicate survivorship, coding assistant | Required | Claude Sonnet 4.6 | GPT-5.6 Luna |
FAST | Chat, coding assistant, LLM rules | Required | Claude Haiku 4.5 | GPT-5.6 Luna |
NANO | Rule descriptions, ruleset and mission naming | Optional — uses FAST | Claude Haiku 4.5 | GPT-5.6 Luna |
COLUMN_RELATION | Column matching when mapping system tables | Optional — uses FAST | Claude Haiku 4.5 | GPT-5.6 Luna |
PDF_PROCESSING | PDF extraction, schema chat, preview generation | Optional — uses STANDARD | Claude Sonnet 4.6 | GPT-5.6 Luna |
REASONING | Reserved for complex, multi-step analysis | Optional — uses STANDARD | Claude Opus 4.8 | GPT-5.6 Terra or Sol |
Minimum versions
Anthropic — Claude 4.x or newer. Sonnet 4.6 (STANDARD) and Haiku 4.5 (FAST) are the tested baseline.
OpenAI — GPT-5.4 or newer. GPT-5.4 is the floor and works across all classes. GPT-5.6 Luna is the better choice on cost and latency and is the recommended default.
Google — Gemini 3.x or newer. Gemini 3.5 Flash covers STANDARD and FAST, Gemini 3.1 Flash Lite covers NANO.
What the models must support
Tool calling — the platform runs agentic workflows, so every model must be able to call functions.
Structured outputs — results are validated against JSON schemas. On Gemini this requires version 3 or newer.
Binary PDF input — only for the PDF_PROCESSING class. The model must accept PDF files directly; Claude Sonnet 4.6 (or newer) is the tested option. Without it, PDF-based checks are unavailable, but the rest of the platform is unaffected.
Credentials for the chosen provider are configured during deployment — your onboarding contact will walk you through it.
Notes
On-prem deployment allows full control over data and infrastructure
BYO-LLM enables customization and compliance with internal governance
Learn more: SSO and Microsoft Login, Linking an SSO account to an existing accoung